Improved radial load flow method

Gupta, Monika; Ghose, T. K.

doi:10.1016/j.ijepes.2012.08.005

Cited by 54 publications

(25 citation statements)

References 34 publications

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“…In the method, these matrices are explicit constructs, which involves a matrix inversion operation and led to a non linear storage complexity. In a recent work, Singh and Ghose [16] proposed a iterative procedure to construct the branch current matrix (BCM). This square ðn Â nÞ-matrix stores the branch ðv i ; v p i Þ current at element ðp i ; iÞ.…”

Section: The Classic Direct Methodsmentioning

confidence: 99%

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A fast power flow method for radial networks with linear storage and no matrix inversions

Lisboa

Guedes

Vieira

et al. 2014

International Journal of Electrical Power & Energy Systems

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Section: The Classic Direct Methodsmentioning

confidence: 99%

“…Methods to incorporate three-phase transformers into the forward/backward sweep-based distribution power flow was presented by Xiao et al in 2006 [11], Teng in 2008 [12] and Elsaiah et al in 2011 [13]. Recent methods focus on matrix formulations in order to improve computational burden [14][15][16][17].…”

Section: Introductionmentioning

confidence: 99%

A fast power flow method for radial networks with linear storage and no matrix inversions

Lisboa

Guedes

Vieira

et al. 2014

International Journal of Electrical Power & Energy Systems

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“…In Singh and Ghose, authors attempted modeling the network thorough a current and voltage matrix and utilizing the forward and backward sweep methods to evaluate the branch currents and node voltage. However, in spite of being an efficient method for load flow analysis, the method has certain limitations and scope of improvements as follows: Authors in the paper identifies leaf node by monitoring every entry in the columns of the sending node row to check whether every entry is zero or not.…”

Section: Introductionmentioning

confidence: 99%

Faster load flow algorithm for radial distribution network using graph theory

Sharma

Chaturvedi

Saxena

et al. 2018

Int Trans Electr Energ Syst

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Summary Since last 3 decades, load flow solutions have enjoyed success on different fronts. Primarily, the importance and utility of these algorithms is assessed using performance measures, which usually include issue like implementation complicacy, optimized execution time, and memory storage. In this work, a graph‐theoretical approach is used to facilitate load flow solutions for a static network topology. Algorithm is tested for 2 different radial distribution topologies, and its deployment for both of these network finally results in phenomenal saving on 2 important algorithm performance measures, ie, time and space complexity. Obtained phenomenal saving for both of these 2 parameters is compared with earlier reported work on statistical basis.

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“…The solution is compared with MCS. An efficient method for radial LF solution is presented in [21]. It uses a novel matrix transformation technique, which directly determines branch flows in radial distribution network; consequently it makes forward-backward sweep-based LF method, more effective and fast.…”

Section: Introductionmentioning

confidence: 99%

Heuristic probabilistic power flow algorithm for microgrids operation and planning

Nikmehr

Ravadanegh

2015

IET Generation, Transmission & Distribution

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One of the basic components of future distribution networks is renewable energy resources (RER). The uncertainty in power production of renewable resources such as wind and solar as well as load is another characteristic of such networks. Conventional power flow methods may not be suitable for active distribution networks such as microgrids. In this study, a heuristic load flow method considering the effects of intermittent behaviour of RERs and load is modelled in probabilistic load flow (PLF) algorithm. The method is suitable for both radial and weakly meshed distribution networks with RER for operation and planning of microgrids. Imperialist competitive algorithm (ICA) as heuristic-based optimisation algorithm is applied to solve the PLF. Based on PLF technique, calculated parameters of the system such as bus voltages and feeders' current are extracted as random variables. A modified version of IEEE 33-bus test system with RER is used to evaluate efficiency and capability of the algorithm. Results are compared with Monte Carlo simulation method. The probability density function and cumulative distribution function (CDF) of some network variable are compared. Based on the results, the presented approach can solve the PLF problem regardless of the type of distribution network.

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Improved radial load flow method

Cited by 54 publications

References 34 publications

A fast power flow method for radial networks with linear storage and no matrix inversions

A fast power flow method for radial networks with linear storage and no matrix inversions

Faster load flow algorithm for radial distribution network using graph theory

Heuristic probabilistic power flow algorithm for microgrids operation and planning

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